Vertaling en analyse van woorden door kunstmatige intelligentie ChatGPT
Op deze pagina kunt u een gedetailleerde analyse krijgen van een woord of zin, geproduceerd met behulp van de beste kunstmatige intelligentietechnologie tot nu toe:
- hoe het woord wordt gebruikt
- gebruiksfrequentie
- het wordt vaker gebruikt in mondelinge of schriftelijke toespraken
- opties voor woordvertaling
- Gebruiksvoorbeelden (meerdere zinnen met vertaling)
- etymologie
generative$31256$ - vertaling naar grieks
![genitalia of Lepidoptera]]](https://commons.wikimedia.org/wiki/Special:FilePath/Female genitalia Lepidoptera.jpg?width=200 "genitalia of Lepidoptera]]")
![An image of human male external sex organs (shaved [[pubic hair]])](https://commons.wikimedia.org/wiki/Special:FilePath/ShortForeskin.jpg?width=200 "An image of human male external sex organs (shaved [[pubic hair]])")
![An image of human female external sex organs (shaved [[pubic hair]])](https://commons.wikimedia.org/wiki/Special:FilePath/Vulva with tiny labia minora.jpg?width=200 "An image of human female external sex organs (shaved [[pubic hair]])")
Definitie
Wikipedia
Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is probably convergent and does not require a shrinking neighborhood or a decreasing step size. It is a generative model: the data is assumed to arise by first probabilistically picking a point in a low-dimensional space, mapping the point to the observed high-dimensional input space (via a smooth function), then adding noise in that space. The parameters of the low-dimensional probability distribution, the smooth map and the noise are all learned from the training data using the expectation-maximization (EM) algorithm. GTM was introduced in 1996 in a paper by Christopher Bishop, Markus Svensen, and Christopher K. I. Williams.
